InfoQ Homepage InfoQ Dev Summit Content on InfoQ
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Evolution of a Backend for a Streaming Application
Daniele Frasca shares how to scale streaming apps for millions of users using serverless patterns. Learn to eliminate single points of failure, improve data consistency, and master multi-region.
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The Human Scalability Problem: Why Your Teams Don’t Scale Like Your Code
Charlotte de Jong Schouwenburg explains why scaling engineering teams often slows down delivery. She shares how to solve human latency by building trust and psychological safety across silos.
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Building a Future-Proof Observability Platform to Empower Engineers
Wayne Bell and Dan Gomez Blanco explain how Skyscanner transitioned from siloed telemetry to a unified OpenTelemetry standard, treating their internal platform as a product to drive adoption.
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Event-Driven Patterns for Cloud-Native Banking - What Works, What Hurts?
Chris Tacey-Green explains how to build resilient event-driven architectures in regulated banking, covering transactional integrity, idempotency patterns, and strategies to avoid "poisonous" messages.
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Reimagining Platform Engagement with Graph Neural Networks
Mariia Bulycheva explains how Zalando utilized Graph Neural Networks to move beyond tabular data, modeling higher-order user-item interactions to optimize long-term engagement and click probability.
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Duolingo's Kubernetes Leap
Franka Passing explains Duolingo's migration from AWS ECS to EKS, discussing how they built a foundation with Argo CD and Karpenter to enable blue-green deployments for 128M+ active users.
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Are We Ready for the Next Cyber Security Crisis Like Log4shell?
Soroosh Khodami shares a "horror story" on supply chain attacks. He explains how one Maven or npm command can gift hackers a reverse shell and shares critical strategies like SBOMs to defend teams.
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Data Mesh in Action: a Journey from Ideation to Implementation
Anurag Kale explains how to solve brittle ETL pipelines using Data Mesh. He shares an approach to decentralizing data ownership, treating data as a product, and building self-serve platforms.
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Image Processing for Automated Tests
Stefan Dirnstorfer explains the evolution of image-based test automation, comparing GenAI agents like Claude 3.5/4.5 with traditional computer vision for resilient, internal-free frontend testing.
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Four Patterns of AI Native Development
Patrick Debois explains the shift to AI-native development, focusing on how engineers are moving from producers to managers of intent while navigating the "chaos period" of 600+ emerging AI tools.
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Busting AI Myths and Embracing Realities in Privacy & Security
Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.
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AI Innovation in 2025 and beyond
Tejas Kumar discusses the evolution of AI from 1906 to 2026, explaining how agentic RAG and the Model Context Protocol (MCP) are shifting the industry from complex UIs to a prompt-driven future.
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